NVIDIA Jetson AGX Orin 32 GB vs NVIDIA Quadro M5000

VS

NVIDIA Jetson AGX Orin 32 GB

NVIDIA Quadro M5000

We compared two Professional market GPUs: 32GB VRAM Jetson AGX Orin 32 GB and 8GB VRAM Quadro M5000 to see which GPU has better performance in key specifications, benchmark tests, power consumption, etc.

Main Differences

NVIDIA Jetson AGX Orin 32 GB 's Advantages

Released 7 years and 8 months late

More VRAM (32GB vs 8GB)

Lower TDP (40W vs 150W)

NVIDIA Quadro M5000 's Advantages

Boost Clock1038MHz

Larger VRAM bandwidth (211.6GB/s vs 204.8GB/s)

256 additional rendering cores

Score

Benchmark

FP32 (float)

Jetson AGX Orin 32 GB

3.333 TFLOPS

Quadro M5000 +27%

4.252 TFLOPS

Jetson AGX Orin 32 GB

VS

Quadro M5000

Graphics Card

Feb 2023

Release Date

Jun 2015

Tegra

Generation

Quadro

Professional

Type

Professional

PCIe 4.0 x4

Bus Interface

PCIe 3.0 x16

Clock Speeds

-

Base Clock

861 MHz

-

Boost Clock

1038 MHz

1600 MHz

Memory Clock

1653 MHz

Memory

32GB

Memory Size

8GB

LPDDR5

Memory Type

GDDR5

256bit

Memory Bus

256bit

204.8GB/s

Bandwidth

211.6GB/s

Render Config

-

14

SM Count

-

1792

Shading Units

2048

56

TMUs

128

24

ROPs

64

56

Tensor Cores

-

128 KB (per SM)

L1 Cache

48 KB (per SMM)

256 KB

L2 Cache

2 MB

-

Theoretical Performance

22.32 GPixel/s

Pixel Rate

66.43 GPixel/s

52.08 GTexel/s

Texture Rate

132.9 GTexel/s

6.666 TFLOPS

FP16 (half)

-

3.333 TFLOPS

FP32 (float)

4.252 TFLOPS

1.667 TFLOPS

FP64 (double)

132.9 GFLOPS

Board Design

40W

TDP

150W

-

Suggested PSU

450 W

Portable Device Dependent

Outputs

1x DVI 4x DisplayPort 1.4a

-

Power Connectors

1x 6-pin

Graphics Processor

GA10B

GPU Name

GM204

-

GPU Variant

GM204-875-A1

Ampere

Architecture

Maxwell 2.0

Samsung

Foundry

TSMC

8 nm

Process Size

28 nm

Unknown

Transistors

5.2 billion

Unknown

Die Size

398 mm²

Graphics Features

12 Ultimate (12_2)

DirectX

12 (12_1)

4.6

OpenGL

4.6

3.0

OpenCL

3.0

1.3

Vulkan

1.3

8.6

CUDA

5.2

6.7

Shader Model

6.4

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